Development of knowledge base structure for gout diagnosis

نویسندگان

چکیده

Gout belongs to the group of microcrystalline arthritides and is a systemic tophus manifested by inflammation various tissues caused deposition monosodium urate crystals. Verification gout diagnosis in Russia takes on average four eight years from beginning disease. This period sufficient for development complications (for example, gouty nephropathy) disability patient, and, therefore, it necessary revise existing strategy this One options improving provision medical care can be attributed creation clinical decision support system (CDSS), which based knowledge experts, formalized as base (KB). Aim . To develop KB structure CDSS diagnosis. Material Methods. Clinical information diagnosis, presented nomenclature concepts logical schemes, were collected basis federal recommendations, literature sources expert used materials. The ontological method was structuring. Combined semantic network frames methods representation. Results While developing structure, combination two representation including used. An approach terms built cooperation with experts Compared similar developments diagnosing diseases engineering methods, main feature developed use separate type “Syndrome” concept an aggregator accepted medicine, significantly reducing volume diseases. Conclusion comprising seven types 11 relationships. involved models representation, namely: frame model.

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ژورنال

عنوان ژورنال: Sibirskij žurnal klini?eskoj i èksperimental?noj mediciny

سال: 2022

ISSN: ['2713-265X', '2713-2927']

DOI: https://doi.org/10.29001/2073-8552-2022-37-3-149-158